mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-11-04 09:32:00 +00:00
1d36b3670b
* llama : move end-user examples to tools directory --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
106 lines
3.9 KiB
Python
Executable File
106 lines
3.9 KiB
Python
Executable File
#!/usr/bin/env python
|
|
'''
|
|
This script fetches all the models used in the server tests.
|
|
|
|
This is useful for slow tests that use larger models, to avoid them timing out on the model downloads.
|
|
|
|
It is meant to be run from the root of the repository.
|
|
|
|
Example:
|
|
python scripts/fetch_server_test_models.py
|
|
( cd tools/server/tests && ./tests.sh -v -x -m slow )
|
|
'''
|
|
import ast
|
|
import glob
|
|
import logging
|
|
import os
|
|
from typing import Generator
|
|
from pydantic import BaseModel
|
|
from typing import Optional
|
|
import subprocess
|
|
|
|
|
|
class HuggingFaceModel(BaseModel):
|
|
hf_repo: str
|
|
hf_file: Optional[str] = None
|
|
|
|
class Config:
|
|
frozen = True
|
|
|
|
|
|
def collect_hf_model_test_parameters(test_file) -> Generator[HuggingFaceModel, None, None]:
|
|
try:
|
|
with open(test_file) as f:
|
|
tree = ast.parse(f.read())
|
|
except Exception as e:
|
|
logging.error(f'collect_hf_model_test_parameters failed on {test_file}: {e}')
|
|
return
|
|
|
|
for node in ast.walk(tree):
|
|
if isinstance(node, ast.FunctionDef):
|
|
for dec in node.decorator_list:
|
|
if isinstance(dec, ast.Call) and isinstance(dec.func, ast.Attribute) and dec.func.attr == 'parametrize':
|
|
param_names = ast.literal_eval(dec.args[0]).split(",")
|
|
if "hf_repo" not in param_names:
|
|
continue
|
|
|
|
raw_param_values = dec.args[1]
|
|
if not isinstance(raw_param_values, ast.List):
|
|
logging.warning(f'Skipping non-list parametrize entry at {test_file}:{node.lineno}')
|
|
continue
|
|
|
|
hf_repo_idx = param_names.index("hf_repo")
|
|
hf_file_idx = param_names.index("hf_file") if "hf_file" in param_names else None
|
|
|
|
for t in raw_param_values.elts:
|
|
if not isinstance(t, ast.Tuple):
|
|
logging.warning(f'Skipping non-tuple parametrize entry at {test_file}:{node.lineno}')
|
|
continue
|
|
yield HuggingFaceModel(
|
|
hf_repo=ast.literal_eval(t.elts[hf_repo_idx]),
|
|
hf_file=ast.literal_eval(t.elts[hf_file_idx]) if hf_file_idx is not None else None)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
|
|
|
|
models = sorted(list(set([
|
|
model
|
|
for test_file in glob.glob('tools/server/tests/unit/test_*.py')
|
|
for model in collect_hf_model_test_parameters(test_file)
|
|
])), key=lambda m: (m.hf_repo, m.hf_file))
|
|
|
|
logging.info(f'Found {len(models)} models in parameterized tests:')
|
|
for m in models:
|
|
logging.info(f' - {m.hf_repo} / {m.hf_file}')
|
|
|
|
cli_path = os.environ.get(
|
|
'LLAMA_CLI_BIN_PATH',
|
|
os.path.join(
|
|
os.path.dirname(__file__),
|
|
'../build/bin/Release/llama-cli.exe' if os.name == 'nt' else '../build/bin/llama-cli'))
|
|
|
|
for m in models:
|
|
if '<' in m.hf_repo or (m.hf_file is not None and '<' in m.hf_file):
|
|
continue
|
|
if m.hf_file is not None and '-of-' in m.hf_file:
|
|
logging.warning(f'Skipping model at {m.hf_repo} / {m.hf_file} because it is a split file')
|
|
continue
|
|
logging.info(f'Using llama-cli to ensure model {m.hf_repo}/{m.hf_file} was fetched')
|
|
cmd = [
|
|
cli_path,
|
|
'-hfr', m.hf_repo,
|
|
*([] if m.hf_file is None else ['-hff', m.hf_file]),
|
|
'-n', '1',
|
|
'-p', 'Hey',
|
|
'--no-warmup',
|
|
'--log-disable',
|
|
'-no-cnv']
|
|
if m.hf_file != 'tinyllamas/stories260K.gguf' and 'Mistral-Nemo' not in m.hf_repo:
|
|
cmd.append('-fa')
|
|
try:
|
|
subprocess.check_call(cmd)
|
|
except subprocess.CalledProcessError:
|
|
logging.error(f'Failed to fetch model at {m.hf_repo} / {m.hf_file} with command:\n {" ".join(cmd)}')
|
|
exit(1)
|